{"id":"https://openalex.org/W2207242687","doi":"https://doi.org/10.1109/eusipco.2015.7362396","title":"Noise-robust voice conversion using a small parallel data based on non-negative matrix factorization","display_name":"Noise-robust voice conversion using a small parallel data based on non-negative matrix factorization","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2207242687","doi":"https://doi.org/10.1109/eusipco.2015.7362396","mag":"2207242687"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011355805","display_name":"Ryo Aihara","orcid":"https://orcid.org/0009-0006-6492-3754"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryo Aihara","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102271163","display_name":"Takao Fujii","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takao Fujii","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041887072","display_name":"Toru Nakashika","orcid":"https://orcid.org/0000-0003-1863-6771"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Nakashika","raw_affiliation_strings":["Graduate School of Information Systems, University of Electro-Communications, Chofu, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Systems, University of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009283470","display_name":"Tetsuya Takiguchi","orcid":"https://orcid.org/0000-0001-5005-7679"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Takiguchi","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040766342","display_name":"Yasuo Ariki","orcid":"https://orcid.org/0000-0003-3473-2026"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Ariki","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011355805"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06708531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"315","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.908360481262207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8195654153823853},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.650470495223999},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6159371137619019},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.48225075006484985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4712519943714142},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4692276418209076},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.46084854006767273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4410611689090729},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4405216872692108},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28941017389297485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2309095859527588}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.908360481262207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195654153823853},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.650470495223999},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6159371137619019},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.48225075006484985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4712519943714142},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4692276418209076},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.46084854006767273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4410611689090729},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4405216872692108},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28941017389297485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2309095859527588},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2015.7362396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W10800834","https://openalex.org/W49412823","https://openalex.org/W53180275","https://openalex.org/W1588266896","https://openalex.org/W1963778986","https://openalex.org/W1977362459","https://openalex.org/W1982641198","https://openalex.org/W2017425464","https://openalex.org/W2022125261","https://openalex.org/W2049686551","https://openalex.org/W2056661291","https://openalex.org/W2059520982","https://openalex.org/W2105160541","https://openalex.org/W2105698384","https://openalex.org/W2118850452","https://openalex.org/W2120605154","https://openalex.org/W2135029798","https://openalex.org/W2141520175","https://openalex.org/W2153057929","https://openalex.org/W2156142001","https://openalex.org/W2407110532","https://openalex.org/W6602007935","https://openalex.org/W6635216677","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840","https://openalex.org/W2146544734"],"abstract_inverted_index":{"This":[0,107],"paper":[1],"presents":[2],"a":[3,17,25,71,113,133,139,143],"novel":[4],"framework":[5],"of":[6,45,121,132],"voice":[7],"conversion":[8,72],"(VC)":[9],"based":[10],"on":[11],"non-negative":[12],"matrix":[13,90,109],"factorization":[14],"(NMF)":[15],"using":[16,28,112],"small":[18,114],"parallel":[19,39,65,115],"corpus.":[20],"In":[21,85],"our":[22],"previous":[23],"work,":[24],"VC":[26,76],"technique":[27],"NMF":[29,93],"for":[30],"noisy":[31,144],"environments":[32],"has":[33],"been":[34],"proposed,":[35],"and":[36,49,60,138],"it":[37],"requires":[38],"exemplars":[40,48],"(dictionary),":[41],"which":[42],"con":[43,134],"sist":[44],"the":[46,53,58,78,100,104],"source":[47,59,101],"target":[50,61,105],"exemplars,":[51],"having":[52],"same":[54,79],"texts":[55],"uttered":[56],"by":[57,126],"speakers.":[62],"The":[63,119],"large":[64],"corpus":[66,117],"is":[67,96,110,124],"used":[68],"to":[69,98,103],"construct":[70],"function":[73],"in":[74,91,142],"NMF-based":[75,136],"(in":[77],"way":[80],"as":[81],"common":[82],"GMM-based":[83,140],"VC).":[84],"this":[86,122],"paper,":[87],"an":[88,92],"adaptation":[89,108],"frame":[94],"work":[95],"introduced":[97],"adapt":[99],"dictionary":[102],"dictionary.":[106],"estimated":[111],"speech":[116],"only.":[118],"effectiveness":[120,129],"method":[123,137,141],"confirmed":[125],"comparing":[127],"its":[128],"with":[130],"that":[131],"ventional":[135],"environment.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}